Question

The number of database queries made during any interval of time is a Poisson random variable....

The number of database queries made during any interval of time is a Poisson random variable. On average, six queries are made every minute. Determine the probability that three or more queries will be made during an interval of 15 seconds.

Homework Answers

Answer #1

Solution :

Given that ,

mean = = 6

Using poisson probability formula,

P(X = x) = (e- * x ) / x!

P(X 3) = 1 - P(X 2 )

= 1 - (  P(X = 0) + P(X = 1) + P(X = 2))

= 1 - (  (e6 * 60) / 0! + (e6 * 61) / 1! + (e6 * 62) / 2!

= 1 - (0.0025+0.0149+0.0446)

= 1 - 0.0620

= 0.9380

The probability that three or more queries will be made during an interval of 15 seconds is 0.9380.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Select an arrival (Poisson) process on any time interval (eg.: second, minute, hour, day, week, month,...
Select an arrival (Poisson) process on any time interval (eg.: second, minute, hour, day, week, month, etc….) as you like. Possible arrival processes could be arrival of signal, click, broadcast, defective product, customer, passenger, patient, rain, storm, earthquake etc.[Hint: Poisson and exponential distributions exits at the same time.] Collect approximately n=30 observations per unit time interval. .[Hint: Plot your observations. If there is sharp increase or decrease then you could assume that you are observing arrivals according to proper Poisson...
The number of accidents in a certain city is modeled by a Poisson random variable with...
The number of accidents in a certain city is modeled by a Poisson random variable with average rate of 10 accidents per day. Suppose that the number of accidents in different days are independent. Use the central limit theorem to find the probability that there will be more than 3800 accidents in a certain year. Assume that there are 365 days in a year
Q1.    Select an arrival (Poisson) process on any time interval (eg.: second, minute, hour, day, week,...
Q1.    Select an arrival (Poisson) process on any time interval (eg.: second, minute, hour, day, week, month, etc….) as you like. Possible arrival processes could be arrival of signal, click, broadcast, defective product, customer, passenger, patient, rain, storm, earthquake etc.[Hint: Poisson and exponential distributions exits at the same time.] Collect approximately n=30 observations per unit time interval. .[Hint: Plot your observations. If there is sharp increase or decrease then you could assume that you are observing arrivals according to proper...
1. Given a poisson random variable, X = # of events that occur, where the average...
1. Given a poisson random variable, X = # of events that occur, where the average number of events in the sample unit (μ) is given on the right, determine the smallest critical value (critical value = c) for the random variable such that you have at least a 99% probability of finding c or fewer events.    μ = 4    2. Given a binomial random variable X where X = # of operations in a local hospital that...
The number of coughs during an 80-minute homework in a professor's statistics class has a Poisson...
The number of coughs during an 80-minute homework in a professor's statistics class has a Poisson distribution with a mean of 0.63 coughs per minute. What is the probability that at least one cough will occur in any given 5-minute time span? Give your answer to three decimal places. Hint: You will need to first find the mean number of coughs per five-minute span (λ) using the mean number of coughs per minute, μ.
The number of customers X that visit a diner during lunch is a (μ=6.5)-Poisson random variable....
The number of customers X that visit a diner during lunch is a (μ=6.5)-Poisson random variable. List the four most likely number of customers to visit and corresponding probabilities in order of likelihood. a)Probability of most likely number of customers b)Probability of 2nd most likely number of customers c)Probability of 3rd most likely number of customer d)Probability of 4th most likely number of customer
The number of telephone calls per unit of time made to a call center is often...
The number of telephone calls per unit of time made to a call center is often modeled as a Poisson random variable. Historical data suggest that on the average 15 calls per hour are received by the call center of a company. What is the probability that the time between two consecutive calls is longer than 8 minutes? Write all probability values as numbers between 0 and 1.
Assume a Poisson random variable has a mean of 10 successes over a 120-minute period. a....
Assume a Poisson random variable has a mean of 10 successes over a 120-minute period. a. Find the mean of the random variable, defined by the time between successes. b. What is the rate parameter of the appropriate exponential distribution? c. Find the probability that the time to success will be more than 54 minutes
Assume a Poisson random variable has a mean of 10 successes over a 120-minute period. A....
Assume a Poisson random variable has a mean of 10 successes over a 120-minute period. A. Find the probability that the time to success will be more than 54 minutes B. Find the mean of the random variable, defined by the time between successes. C. What is the rate parameter of the appropriate exponential distribution?
A) Suppose that the number of visits to a certain website during a fixed interval follows...
A) Suppose that the number of visits to a certain website during a fixed interval follows a Poisson distribution. Suppose that the average of the visit ratio is five in each minute. What is the probability that there are only 17 visits in the next three minutes? POSSIBLE ANWERS FOR A: a.- 0.0847 b.- 0.0145 c.- 0.2345 d.- 0.0897 B) In a lottery, 10,000,000 tickets are sold for a raffle with 100 prizes. How many lottery tickets must be purchased...